Literature DB >> 17729381

Efficient generation of constrained block allocation sequences.

Ibrahim Salama1, Anastasia Ivanova, Bahjat Qaqish.   

Abstract

Selection bias is a potential problem, especially in trials where blinding is not possible. Randomization with a constrained block of large size provides better protection from selection bias than using a sequence of blocks of small size with the same maximum imbalance. We propose an algorithm that efficiently generates constrained block allocation sequences, and we describe two clinical trials in which such a constrained randomization was used. 2008 John Wiley & Sons, Ltd

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Year:  2008        PMID: 17729381     DOI: 10.1002/sim.3014

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  6 in total

1.  A simplified formula for quantification of the probability of deterministic assignments in permuted block randomization.

Authors:  Wenle Zhao; Yanqiu Weng
Journal:  J Stat Plan Inference       Date:  2011-01-01       Impact factor: 1.111

2.  Statistical properties of minimal sufficient balance and minimization as methods for controlling baseline covariate imbalance at the design stage of sequential clinical trials.

Authors:  Steven D Lauzon; Viswanathan Ramakrishnan; Paul J Nietert; Jody D Ciolino; Michael D Hill; Wenle Zhao
Journal:  Stat Med       Date:  2020-05-04       Impact factor: 2.373

3.  A better alternative to stratified permuted block design for subject randomization in clinical trials.

Authors:  Wenle Zhao
Journal:  Stat Med       Date:  2014-07-14       Impact factor: 2.373

4.  Mass weighted urn design--A new randomization algorithm for unequal allocations.

Authors:  Wenle Zhao
Journal:  Contemp Clin Trials       Date:  2015-06-17       Impact factor: 2.226

5.  Quantitative comparison of randomization designs in sequential clinical trials based on treatment balance and allocation randomness.

Authors:  Wenle Zhao; Yanqiu Weng; Qi Wu; Yuko Palesch
Journal:  Pharm Stat       Date:  2011-05-05       Impact factor: 1.894

Review 6.  Block urn design - a new randomization algorithm for sequential trials with two or more treatments and balanced or unbalanced allocation.

Authors:  Wenle Zhao; Yanqiu Weng
Journal:  Contemp Clin Trials       Date:  2011-08-22       Impact factor: 2.226

  6 in total

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